Devices, systems, and methods for autonomously generating and implementing machine executable files

Abstract

A system for autonomously generating an implementing a machine executable file is disclosed herein. The system can include a node and an artificial intelligence generated machine executable (“AGMX”) platform communicatively coupled to the node. The AGMX platform can include a control circuit and a memory to store an artificial intelligence model that, when executed by the control circuit, causes the AGMX platform to receive a user input including an objective, generate an instruction for the node to execute based on the objective, determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction, generate an AGMX file including the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node, and transmit the AGMX file to the node for execution by the node.

What is claimed is: 
     
         1 . A system for autonomously generating and implementing a machine executable file, the system comprising:
 a node; and   an artificial intelligence generated machine executable (“AGMX”) platform communicatively coupled to the node, wherein the AGMX platform comprises a control circuit and a memory to store an artificial intelligence (“AI”) model that, when executed by the control circuit, causes the AGMX platform to:
 receive a user input comprising an objective; 
 generate an instruction for the node to execute based on the objective; 
 determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction; 
 generate an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node; and 
 transmit the AGMX file to the node for execution by the node. 
   
     
     
         2 . The system of  claim 1 , wherein the node comprises a sensor to generate sensor data. 
     
     
         3 . The system of  claim 2 , wherein, when executed by the control circuit, the AI model further causes the AGMX platform to:
 receive the sensor data from the node;   generate a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and   transmit the modified AGMX file to the node for execution by the node.   
     
     
         4 . The system of  claim 2 , further comprising a risk management platform communicatively coupled to the node, wherein the risk management platform comprises a second control circuit and a second memory to store an algorithm that, when executed by the second control circuit, causes the risk management platform to:
 receive the sensor data from the node;   detect the management authority protocol assigned to the node;   determine a non-compliance to the management authority protocol based on the sensor data; and   generate a remedial action to resolve the non-compliance.   
     
     
         5 . The system of  claim 4 , wherein the remedial action comprises at least one of a modified AGMX file, a command to power the node down, a command to disable a component of the node, a command to operate infrastructure within an operating environment of the node, or an alert to be presented within the operating environment of the node, or combinations thereof. 
     
     
         6 . The system of  claim 1 , wherein the management authority protocol enables the node to resolve a physical obstruction unforeseen by the AGMX file without requiring intervention from the AGMX platform. 
     
     
         7 . The system of  claim 1 , wherein the management authority protocol enables the node to revise an executable plan defined by the AGMX file without requiring intervention from the AGMX platform. 
     
     
         8 . The system of  claim 1 , wherein the management authority protocol enables the node to vary from a vector defined by the AGMX file without requiring intervention from the AGMX platform. 
     
     
         9 . The system of  claim 1 , wherein the management authority protocol designates the node as a control node relative to a second node. 
     
     
         10 . The system of  claim 9 , wherein the node comprises a third control circuit and a third memory to store a local AI engine that, when executed by the third control circuit, causes the node to:
 generate a second instruction for the second node to execute based on the objective;   determine a second management authority protocol to be assigned to the second node, wherein the second management authority protocol defines an ability of the second node to deviate from the second instruction, and wherein the second management authority protocol requires the second node to be subservient to the node;   generate an sub-artificial intelligence generated machine executable (“SAGMX”) file comprising the second instruction and the second management authority protocol, and wherein the SAGMX file is to be executed by the second node; and   transmit the SAGMX file to the second node for execution by the second node.   
     
     
         11 . The system of  claim 10 , wherein the second node comprises a sensor to generate sensor data, and wherein, when executed by the control circuit, the local AI engine further causes the node to:
 receive the sensor data from the second node;   generate a modified SAGMX file based on the sensor data, wherein the modified SAGMX file is to be executed by the second node in lieu of the SAGMX file; and   transmit the modified SAGMX file to the second node for execution by the second node.   
     
     
         12 . An artificial intelligence generated machine executable (“AGMX”) platform for autonomously generating and implementing a machine executable file, the AGMX platform comprising:
 a control circuit; and 
 a memory to store an artificial intelligence (“AI”) model that, when executed by the control circuit, causes the AGMX platform to:
 receive a user input comprising an objective; 
 generate an instruction for a node to execute based on the objective; 
 determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction; 
 generate an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node; and 
 transmit the AGMX file to the node for execution by the node. 
 
 
     
     
         13 . The AGMX platform of  claim 12 , wherein the node comprises a sensor to generate sensor data, and wherein, when executed by the control circuit, the AI model further causes the AGMX platform to:
 receive the sensor data from the node;   generate a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and   transmit the modified AGMX file to the node for execution by the node.   
     
     
         14 . The AGMX platform of  claim 12 , wherein the management authority protocol enables the node to revise an executable plan defined by the AGMX file without requiring intervention from the AGMX platform. 
     
     
         15 . The AGMX platform of  claim 12 , wherein the management authority protocol enables the node to vary from a vector defined by the AGMX file without requiring intervention from the AGMX platform. 
     
     
         16 . A method for autonomously generating and implementing a machine executable file, the method comprising:
 receiving, via a control circuit, a user input comprising an objective;   generating, via the control circuit, an instruction for a node to execute based on the objective;   determining, via the control circuit, a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction;   generating, via the control circuit, an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node;   transmitting, via the control circuit, the AGMX file to the node for execution by the node; and   receiving sensor data from the node based on execution of the AGMX file by the node.   
     
     
         17 . The method of  claim 16 , further comprising:
 generating a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and   transmitting the modified AGMX file to the node for execution by the node.   
     
     
         18 . The method of  claim 16 , further comprising:
 detecting the management authority protocol assigned to the node;   determining a non-compliance to the management authority protocol based on the sensor data; and   generating a remedial action to resolve the non-compliance.   
     
     
         19 . The method of  claim 18 , wherein the remedial action comprises at least one of a modified AGMX file, a command to power the node down, a command to disable a component of the node, a command to operate infrastructure within an operating environment of the node, or an alert to be presented within the operating environment of the node, or combinations thereof. 
     
     
         20 . The method of  claim 19 , further comprising:
 generating a second instruction for a second node to execute based on the objective;   determining a second management authority protocol to be assigned to the second node, wherein the second management authority protocol defines an ability of the second node to deviate from the second instruction, and wherein the second management authority protocol requires the second node to be subservient to the node;   generating an sub-artificial intelligence generated machine executable (“SAGMX”) file comprising the second instruction and the second management authority protocol, and wherein the SAGMX file is to be executed by the second node; and   transmitting the SAGMX file to the second node for execution by the second node.